Cloud computing project management automation system integrating AI technology

Abstract

The invention relates to the technical field of project management, and discloses an AI technology-integrated cloud computing project management automation system, which comprises a new decoration project creation module, a historical decoration project information module and an analysis unit, and is characterized in that a decoration project type and target information data of a new decoration project are created and set through the new decoration project creation module; storing historical decoration item information data through a historical decoration item information module; obtaining a service quality index of each constructor according to the target information data, the construction information data and the client feedback information data of the historical decoration project; according to the service quality index of each constructor, the construction information data of the historical decoration project and the target information data of the new decoration project, obtaining a decoration project matching index of each constructor; new decoration items are distributed according to the decoration item matching index of each constructor; the system automatically distributes new decoration projects to proper constructors, and the customer satisfaction and the construction quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a cloud computing project management automation system integrating AI technology. Background Art

[0002] A project management system is a modern management software that helps companies effectively manage various key resources to ensure that projects can be completed according to predetermined cost, schedule and quality requirements. Project management systems play an indispensable role in many fields such as software development, construction engineering and manufacturing.

[0003] In the prior art, there is a lightweight decoration project management method and system with publication number "CN113627884A", the management method includes creating a decoration project according to the basic information of the decoration project and the information of the decoration project members; receiving the decoration project record information submitted by the decoration project members and the decoration project process category information to which the decoration project record information belongs; processing the decoration project record information and summarizing and displaying it according to the record date; retrieving the decoration project stages and decoration project time schedules recorded by the decoration project members to confirm the current progress of the decoration project; sending decoration project message reminders and decoration project briefings to the decoration project members; and realizing that the implementation workers at the bottom of the decoration industry record the implementation process from the traditional recording method to the information system.

[0004] However, the above technology still has major defects, such as: the above technology can only facilitate managers to view and understand the decoration project record information submitted by each decoration project member, and cannot directly and effectively manage or analyze the work of each decoration project member; when allocating new decoration projects, the system cannot evaluate the new decoration projects, and can only rely on the management personnel's experience and understanding of the decoration project members to assign tasks. There is a risk of not being able to assign the most suitable decoration project members to the new decoration projects, which may have a negative impact on the progress and construction of the new decoration projects. Summary of the invention

[0005] The purpose of the present invention is to provide a cloud computing project management automation system integrating AI technology to solve the above technical problems: The purpose of the present invention can be achieved through the following technical solutions: A cloud computing project management automation system integrating AI technology, the system comprising: A new decoration project creation module is used to create a new decoration project and set the decoration project type and target information data of the new decoration project; Multiple historical decoration project information modules, used to store historical decoration project information data; the decoration project information data includes decoration project type, target information data, construction information data and customer feedback information data; the construction information data includes construction personnel, actual construction time, construction completion effect diagram, and target function completion rate; The analysis unit is used to analyze the decoration project type and construction information data of the historical decoration project to determine whether the historical decoration project can be used to evaluate the service quality index of each construction personnel, analyze the target information data, construction information data and customer feedback information data of the historical decoration project to obtain the service quality index of each construction personnel; then analyze the service quality index of each construction personnel, the construction information data of the historical decoration project and the target information data of the new decoration project to obtain the decoration project matching index of each construction personnel; and allocate new decoration projects according to the decoration project matching index of each construction personnel.

[0006] As a further solution of the present invention: the target information data includes the target rendering of the decoration project, the target estimated completion time and the target function; the customer feedback information data includes the customer satisfaction score and the number of repair reports during the observation period.

[0007] As a further solution of the present invention: the process of obtaining the service quality index of any construction worker includes the following steps: S1: Analyze the renovation project type, construction information data and customer feedback information data of the historical renovation projects to obtain the judgment index of each historical renovation project, and judge whether each historical renovation project is a reference renovation project according to the judgment index; S2: Analyze the construction completion effect diagrams and the target effect diagrams of the reference decoration projects that the construction worker participated in within a preset time period in the past to obtain the similarity of the construction effect of each reference decoration project; S3: The service quality index of the construction personnel is obtained by analyzing the similarity of construction effects, target function completion rate, actual construction time, target estimated completion time, customer satisfaction score and number of repair reports during the observation period of each reference decoration project.

[0008] As a further solution of the present invention: by formula: Calculate the judgment index for any historical renovation project ; in, is the judgment function, when hour, ;when hour, ; For any historical renovation project; The duration from the completion time of the construction of the historical renovation project to the current time; The preset unit length of the observation period; is the observation period adjustment coefficient of the renovation project type corresponding to the historical renovation project; The number of customer feedback information corresponding to this historical renovation project; Set a preset number for customer feedback information.

[0009] As a further solution of the present invention: the process of judging whether each historical decoration project is a reference decoration project is as follows: when When the historical renovation project is a reference renovation project; when When the historical renovation project is considered as a non-reference renovation project.

[0010] As a further solution of the present invention: by formula: Calculate the service quality index of any construction worker ; in, Any construction worker; The number of reference decoration projects that any construction worker participated in. ; For any construction worker involved in the m A service quality index of a reference renovation project; To preset basic service quality index; This is the first time that the construction personnel have participated in m Customer satisfaction ratings of reference renovation projects; Rating preset customer satisfaction scores; This is the first time that the construction personnel have participated in m Target functional completion rate of reference renovation projects; The preset target function completion rate; This is the first time that the construction personnel have participated in m Similarity of construction effects of reference decoration projects; To preset the similarity of construction effect; This is the first time that the construction personnel have participated in m The target estimated completion time for each reference renovation project; This is the first time that the construction personnel have participated in m The actual construction time of a reference renovation project; This is the first time that the construction personnel have participated in m The number of repair reports during the observation period for each reference renovation project; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the fourth weight coefficient; is the fifth weight coefficient; is the first preset constant; is the second preset constant; is the third preset constant; is the fourth preset constant; The fifth preset constant.

[0011] As a further solution of the present invention: the process of obtaining the decoration project matching index includes the following steps: S10: Screen out construction workers who have worked on new renovation projects as candidate construction workers; S20: Obtaining an effect matching index by analyzing the construction completion effect drawings of the reference decoration projects of the candidate construction personnel within a preset time period in the past and the decoration project target effect drawings of the new decoration project; S30: By analyzing the effect matching index and service quality index of the candidate construction workers, the decoration project matching index of each construction worker is obtained.

[0012] As a further solution of the present invention: by formula: Calculate the matching index of any candidate construction worker for the decoration project ; in, Any alternate construction personnel; The maximum value of the effect matching index of the reference decoration projects that the candidate construction personnel participated in within the preset time period in the past; is the service quality index corresponding to the alternative construction personnel.

[0013] Beneficial effects of the present invention: The present invention creates a new decoration project through a new decoration project creation module and sets the decoration project type and target information data of the new decoration project; stores historical decoration project information data through a historical decoration project information module; performs analysis based on the target information data, construction information data and customer feedback information data of the historical decoration project through an analysis unit to obtain the service quality index of each construction worker; then performs analysis based on the service quality index of each construction worker, the construction information data of the historical decoration project and the target information data of the new decoration project to obtain the decoration project matching index of each construction worker; and allocates new decoration projects based on the decoration project matching index of each construction worker; the system automatically allocates new decoration projects to suitable construction workers, thereby improving customer satisfaction and construction quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 A system unit framework diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, in one embodiment, a cloud computing project management automation system integrating AI technology is provided, including: A new decoration project creation module is used to create a new decoration project and set the decoration project type and target information data of the new decoration project; Multiple historical decoration project information modules, used to store historical decoration project information data; the decoration project information data includes decoration project type, target information data, construction information data and customer feedback information data; the construction information data includes construction personnel, actual construction time, construction completion effect diagram, and target function completion rate; The analysis unit is used to analyze the target information data, construction information data and customer feedback information data of the historical decoration projects to obtain the service quality index of each construction worker; then analyze the service quality index of each construction worker, the construction information data of the historical decoration projects and the target information data of the new decoration projects to obtain the decoration project matching index of each construction worker; and allocate new decoration projects according to the decoration project matching index of each construction worker; Through the above technical scheme, this embodiment creates a new decoration project through a new decoration project creation module and sets the decoration project type and target information data of the new decoration project; stores historical decoration project information data through a historical decoration project information module; analyzes the target information data, construction information data and customer feedback information data of the historical decoration projects through an analysis unit to obtain the service quality index of each construction personnel; then analyzes the service quality index of each construction personnel, the construction information data of the historical decoration projects and the target information data of the new decoration project to obtain the decoration project matching index of each construction personnel; and allocates new decoration projects according to the decoration project matching index of each construction personnel; realizes that the system automatically allocates new decoration projects to suitable construction personnel, thereby improving customer satisfaction and construction quality.

[0018] As an implementation mode of the present invention, the target information data includes a target rendering of the renovation project, a target estimated completion time and a target function; the customer feedback information data includes a customer satisfaction score and the number of repair requests during the observation period; As an implementation mode of the present invention, the process of obtaining the service quality index of any construction worker includes the following steps: S1: Analyze the renovation project type, construction information data and customer feedback information data of the historical renovation projects to obtain the judgment index of each historical renovation project, and judge whether each historical renovation project is a reference renovation project according to the judgment index; S2: Analyze the construction completion effect diagrams and the target effect diagrams of the reference decoration projects that the construction worker participated in within a preset time period in the past to obtain the similarity of the construction effect of each reference decoration project; S3: Obtain the service quality index of the construction personnel by analyzing the construction effect similarity, target function completion rate, actual construction time, target estimated completion time, customer satisfaction score and number of repair reports during the observation period of each reference decoration project; Through the above technical solution, this embodiment analyzes the decoration project type, construction information data and customer feedback information data of the historical decoration projects to obtain the judgment index of each historical decoration project, and judges whether each historical decoration project is a reference decoration project according to the judgment index; then, by analyzing the construction completion effect diagram and the decoration project target effect diagram of the reference decoration project participated by the construction personnel in the past preset time period, the similarity of the construction effect of each reference decoration project is obtained; finally, by analyzing the construction effect similarity, target function completion rate, actual construction time, target estimated completion time, customer satisfaction score and the number of repair reports during the observation period of each reference decoration project, the service quality index of the construction personnel is obtained; the service quality of each reference decoration project of the construction personnel is comprehensively evaluated from multiple perspectives such as construction effect, customer satisfaction, function completion rate, construction speed and construction quality; It should be noted that obtaining the effect similarity of two effect pictures through a trained convolutional neural network model is a prior art and will not be described in detail here.

[0019] As an implementation mode of the present invention, by formula: Calculate the judgment index for any historical renovation project ; in, is the judgment function, when hour, ;when hour, ; For any historical renovation project; The duration from the completion time of the construction of the historical renovation project to the current time; is the preset unit duration of the observation period; is the observation period adjustment coefficient of the renovation project type corresponding to the historical renovation project; The number of customer feedback information corresponding to this historical renovation project; Set a preset number of customer feedback messages; As an implementation mode of the present invention, the process of judging whether each historical decoration project is a reference decoration project is as follows: when When the historical renovation project is a reference renovation project; when When the historical renovation project is a non-reference renovation project; Through the above technical solution, this embodiment The length of the observation period for the renovation project type corresponding to the historical renovation project; is the difference between the duration from the end of construction of the historical renovation project to the current time and the observation period of the renovation project type corresponding to the historical renovation project. In the judgment function In Refers to , used to determine whether the time from the end of construction of the historical renovation project to the current time exceeds the observation period of the renovation project type corresponding to the historical renovation project; when , it means that the time from the end of the construction of the historical renovation project to the current time exceeds the observation period of the renovation project type corresponding to the historical renovation project; therefore, the historical renovation project can be used as a reference renovation project. ;when , it means that the time from the end of the construction of the historical renovation project to the current time does not exceed the observation period of the renovation project type corresponding to the historical renovation project; therefore, the historical renovation project cannot be used as a reference renovation project. ; is the difference between the number of customer feedback information corresponding to the historical renovation project and the preset number of customer feedback information. In the judgment function In Refers to , used to determine whether the number of customer feedback information corresponding to the historical decoration project has reached the preset number of customer feedback information; when , it means that the number of customer feedback information corresponding to the historical decoration project has reached the preset number of customer feedback information; therefore, the historical decoration project can be used as a reference decoration project. ;when , it means that the number of customer feedback information corresponding to the historical decoration project has not reached the preset number of customer feedback information; therefore, the historical decoration project cannot be used as a reference decoration project. ;when and When When the historical decoration project is a reference decoration project, otherwise the historical decoration project is a non-reference decoration project. Determine whether each historical renovation project has reference value; It should be noted that the preset unit length of the observation period is And customer feedback information preset quantity It is a preset value obtained based on experience and will not be described in detail here.

[0020] It should be noted that the renovation project type observation period adjustment coefficient corresponding to the historical renovation project It is determined according to the type of decoration project, which includes water pipe laying, circuit pipe laying, wall construction, etc. The observation period adjustment coefficient for each type of decoration project is a preset value, obtained based on experience, and will not be elaborated here.

[0021] As an implementation mode of the present invention, by formula: Calculate the service quality index of any construction worker ; in, Any construction worker; The number of reference decoration projects that any construction worker participated in. ; For any construction worker involved in the first m A service quality index of a reference renovation project; To preset basic service quality index; This is the first time that the construction personnel have participated in m Customer satisfaction ratings of reference renovation projects; Rating preset customer satisfaction scores; This is the first time that the construction personnel have participated in m Target functional completion rate of reference renovation projects; The preset target function completion rate; This is the first time that the construction personnel have participated in m Similarity of construction effects of reference decoration projects; To preset the similarity of construction effect; This is the first time that the construction personnel have participated in m The target estimated completion time for each reference renovation project; This is the first time that the construction personnel have participated in mThe actual construction time of a reference renovation project; This is the first time that the construction personnel have participated in m The number of repair reports during the observation period for each reference renovation project; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the fourth weight coefficient; is the fifth weight coefficient; is the first preset constant; is the second preset constant; is the third preset constant; is the fourth preset constant; is the fifth preset constant; Through the above technical solution, this embodiment This is the first time that the construction personnel have participated in m The difference between the customer satisfaction score of the reference decoration project and the preset customer satisfaction score; At the time, the construction worker participated in the m The difference between the customer satisfaction score of the reference renovation project and the preset customer satisfaction score The larger the value, the more satisfied the customers of the reference decoration project are with the service provided by the construction personnel. m Service quality index of reference renovation projects The bigger; when At the time, the construction worker participated in the m The difference between the customer satisfaction score of the reference renovation project and the preset customer satisfaction score The larger the absolute value of the reference decoration project, the lower the customer satisfaction with the construction personnel's service. m Service quality index of reference renovation projects The smaller; similarly, This is the first time that the construction personnel have participated in m The difference between the target function completion rate of the reference decoration project and the preset target function completion rate; At the time, the construction worker participated in the m The difference between the target function completion rate of the reference decoration project and the preset target function completion rate The larger the value, the more the construction worker participated in the m The more customer target functions a reference renovation project completes, the more construction personnel participate in the first m Service quality index of reference renovation projects The bigger; when At the time, the construction worker participated in the mThe difference between the target function completion rate of the reference decoration project and the preset target function completion rate The larger the absolute value, the more likely the construction worker is to participate in the m The fewer reference renovation projects completed the customer's target functions, the more construction personnel participated in the first m Service quality index of reference renovation projects The smaller; similarly, This is the first time that the construction personnel have participated in m The difference between the construction effect similarity of the reference decoration project and the preset construction effect similarity; At the time, the construction worker participated in the m The difference between the construction effect similarity of the reference decoration project and the preset construction effect similarity The larger the value, the higher the degree to which the construction personnel can achieve the customer's target effect. m Service quality index of reference renovation projects The bigger; when At the time, the construction worker participated in the m The difference between the construction effect similarity of the reference decoration project and the preset construction effect similarity The larger the absolute value, the lower the degree to which the construction personnel can achieve the customer's target effect. m Service quality index of reference renovation projects The smaller; similarly, This is the first time that the construction personnel have participated in m The difference between the target estimated completion time and the actual construction time of a reference renovation project; At the time, the construction worker participated in the m The difference between the target estimated completion time and the actual construction time of the reference renovation project The larger the value, the faster the construction workers will work. m Service quality index of reference renovation projects The bigger; when At the time, the construction worker participated in the m The difference between the target estimated completion time and the actual construction time of the reference renovation project The larger the value, the slower the construction speed. m Service quality index of reference renovation projects The smaller the number, the more the construction worker participates in the m The number of repair reports during the observation period for each reference decoration project The larger the value, the worse the construction quality of the construction personnel. m Service quality index of reference renovation projects The smaller the construction personnel are, the more comprehensive the evaluation will be from the perspectives of construction effect, customer satisfaction, functional completion rate, construction speed and construction quality. m The service quality of a reference renovation project; through the formula The overall service quality of the construction personnel in the past preset time period can be evaluated; It should be noted that the preset basic service quality index , preset customer satisfaction rating , preset target function completion rate , Preset construction effect similarity , the first weight coefficient , the second weight coefficient , the third weight coefficient , the fourth weight coefficient , the fifth weight coefficient , the sixth weight coefficient , the first preset constant , the second preset constant , the third preset constant , the fourth preset constant and the fifth preset constant It is a preset value obtained based on experience and will not be described in detail here.

[0022] As an implementation mode of the present invention, the process of obtaining the decoration project matching index includes the following steps: S10: Screen out construction workers who have worked on new renovation projects as candidate construction workers; S20: Obtaining an effect matching index by analyzing the construction completion effect drawings of the reference decoration projects of the candidate construction personnel within a preset time period in the past and the decoration project target effect drawings of the new decoration project; S30: Obtaining the decoration project matching index of each construction worker by analyzing the effect matching index and service quality index of the candidate construction workers; Through the above technical scheme, this embodiment first screens out construction personnel of the type of decoration projects that have done new decoration projects as candidate construction personnel; then, by analyzing the construction completion renderings of the reference decoration projects of the candidate construction personnel within a preset time period in the past with the decoration project target renderings of the new decoration projects, an effect matching index is obtained; finally, by analyzing the effect matching index and service quality index of the candidate construction personnel, the decoration project matching index of each construction personnel is obtained; and the construction personnel who are more suitable for the new decoration project are evaluated in terms of effect and service quality.

[0023] As an implementation mode of the present invention, by formula: Calculate the matching index of any candidate construction worker for the decoration project ; in, Any alternate construction personnel; The maximum value of the effect matching index of the reference decoration projects that the candidate construction personnel participated in within the preset time period in the past; is the service quality index corresponding to the candidate construction personnel; Through the above technical solution, in this embodiment, the maximum value of the effect matching index of the reference decoration project participated by the candidate construction personnel in the past preset time period is The larger the value is, the easier it is for the candidate construction worker to complete the target rendering of the new decoration project. Therefore, the decoration project matching index The larger the value, the service quality index of the candidate construction personnel The larger the value, the higher the quality of the candidate construction personnel. Therefore, the matching index of the decoration project The larger the index, the new renovation project will be assigned to the candidate construction worker with the largest renovation project matching index; the new renovation project will be automatically assigned to the most suitable construction worker.

[0024] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A cloud computing project management automation system integrating AI technology, characterized in that: The system comprises: A new decoration project creation module is used to create a new decoration project and set the decoration project type and target information data of the new decoration project; Multiple historical decoration project information modules, used to store historical decoration project information data; the decoration project information data includes decoration project type, target information data, construction information data and customer feedback information data; the construction information data includes construction personnel, actual construction time, construction completion effect diagram, and target function completion rate; The analysis unit is used to analyze the decoration project type and construction information data of the historical decoration project to determine whether the historical decoration project can be used to evaluate the service quality index of each construction personnel, analyze the target information data, construction information data and customer feedback information data of the historical decoration project to obtain the service quality index of each construction personnel; then analyze the service quality index of each construction personnel, the construction information data of the historical decoration project and the target information data of the new decoration project to obtain the decoration project matching index of each construction personnel; and allocate new decoration projects according to the decoration project matching index of each construction personnel.

2. The cloud computing project management automation system integrating AI technology according to claim 1, characterized in that: The target information data includes the target renderings of the renovation project, the target estimated completion time and the target functions; the customer feedback information data includes the customer satisfaction score and the number of repair reports during the observation period.

3. The cloud computing project management automation system integrating AI technology according to claim 2, characterized in that: The process of obtaining the service quality index of any construction worker includes the following steps: S1: Analyze the renovation project type, construction information data and customer feedback information data of the historical renovation projects to obtain the judgment index of each historical renovation project, and judge whether each historical renovation project is a reference renovation project according to the judgment index; S2: Analyze the construction completion effect diagrams and the target effect diagrams of the reference decoration projects that the construction worker participated in within a preset time period in the past to obtain the similarity of the construction effect of each reference decoration project; S3: The service quality index of the construction personnel is obtained by analyzing the similarity of construction effects, target function completion rate, actual construction time, target estimated completion time, customer satisfaction score and number of repair reports during the observation period of each reference decoration project.

4. The cloud computing project management automation system integrating AI technology according to claim 3, characterized in that: By formula: Calculate the judgment index for any historical renovation project ; in, is the judgment function, when hour, ;when hour, ; For any historical renovation project; The duration from the completion time of the construction of the historical renovation project to the current time; The preset unit length of the observation period; is the observation period adjustment coefficient of the renovation project type corresponding to the historical renovation project; The number of customer feedback information corresponding to this historical renovation project; Set a preset number for customer feedback information.

5. The cloud computing project management automation system integrating AI technology according to claim 4, characterized in that: The process of judging whether each historical decoration project is a reference decoration project is as follows: when When the historical renovation project is a reference renovation project; when When the historical renovation project is considered as a non-reference renovation project.

6. The cloud computing project management automation system integrating AI technology according to claim 5, characterized in that: By formula: Calculate the service quality index of any construction worker ; in, Any construction worker; The number of reference decoration projects that any construction worker participated in. ; For any construction worker involved in the first m A service quality index of a reference renovation project; To preset basic service quality index; This is the first time that the construction personnel have participated in m Customer satisfaction ratings of reference renovation projects; Rating preset customer satisfaction scores; This is the first time that the construction personnel have participated in m Target functional completion rate of reference renovation projects; The preset target function completion rate; This is the first time that the construction personnel have participated in m Similarity of construction effects of reference decoration projects; To preset the similarity of construction effect; This is the first time that the construction personnel have participated in m The target estimated completion time for each reference renovation project; This is the first time that the construction personnel have participated in m The actual construction time of a reference renovation project; This is the first time that the construction personnel have participated in m The number of repair reports during the observation period for each reference renovation project; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the fourth weight coefficient; is the fifth weight coefficient; is the first preset constant; is the second preset constant; is the third preset constant; is the fourth preset constant; The fifth preset constant.

7. The cloud computing project management automation system integrating AI technology according to claim 6, characterized in that: The process of obtaining the decoration project matching index includes the following steps: S10: Screen out construction workers who have worked on new renovation projects as candidate construction workers; S20: Obtaining an effect matching index by analyzing the construction completion effect drawings of the reference decoration projects of the candidate construction personnel within a preset time period in the past and the decoration project target effect drawings of the new decoration project; S30: By analyzing the effect matching index and service quality index of the candidate construction workers, the decoration project matching index of each construction worker is obtained.

8. The cloud computing project management automation system integrating AI technology according to claim 7, characterized in that: By formula: Calculate the decoration project matching index of any candidate construction personnel ; in, Any alternate construction personnel; The maximum value of the effect matching index of the reference decoration projects that the candidate construction worker participated in within the preset time period in the past; is the service quality index corresponding to the alternative construction personnel.

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